Architecting LLM Solutions

Large language models (LLMs) have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI), offering remarkable versatility in tackling a variety of tasks. However, realizing their full potential requires addressing certain challenges and developing effective LLM solutions. In this chapter, we’ll demystify the process of architecting LLM solutions, focusing on essential aspects such as memory, problem-solving capabilities, autonomous agents, and advanced tools for enhanced performance. We will be focusing on retrieval-augmented language models, which provide contextually relevant information, their practical applications, and methods to improve them further. Additionally, we’ll uncover the challenges, best practices, and evaluation methods to ensure the success of an LLM solution.

Building upon these foundational concepts, this chapter will equip you with the knowledge and techniques necessary to create...